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How Citera's autopilot works

How the Citera agent discovers opportunities, prioritizes them, executes the work and measures the result.

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Written by Liam Karlsson

Citera's autopilot is an AI agent that turns visibility gaps into finished work instead of another task list. It runs in a continuous loop.

The loop

  1. Discover. Monitor your tracked prompts, AI answers, citations, sources, competitors, sentiment and visibility gaps.

  2. Prioritize. Rank opportunities by the size of the gap, buyer relevance, competitor advantage, source evidence, likely impact and the work required.

  3. Execute. Create or update content, distribute it, strengthen authority signals and prepare or apply approved website changes.

  4. Measure. Re-scan AI models and feed results back into the next cycle.

What the agent works on

  • Owned content: researches, writes, publishes, optimizes and refreshes blogs, articles and guides

  • Website improvements: finds high-priority page issues and shows the fix; on Scale and above, fixes can be applied to your CMS

  • Distribution: on Scale and above, prepares and publishes social posts to connected channels

  • Authority: identifies work that strengthens citations, backlinks, reviews and source coverage

  • Product pages: on Scale and above, optimizes product pages so AI shopping experiences can surface them

What is included depends on your plan. See Citera plans at a glance.

Agent jobs

An agent job is a unit of work completed by Citera's workflows, such as researching, drafting, updating, distributing or preparing an approved action. Plans include different amounts of agent capacity.

You stay in control

Autopilot controls publishing, not writing. If you switch autopilot off, Citera keeps writing drafts on schedule, but they wait for your approval instead of going live. You can set different policies for different kinds of work. See Approval controls: autopilot, draft-only and manual publishing.

The agent learns from your edits

When you edit, deny, remove or approve content, the agent takes that into account in future work. You can also give it standing instructions in the Knowledge Base.

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